Diagnosis of early Alzheimer's disease based on EEG source localization and a standardized realistic head model

Haleh Aghajani, Edmond Zahedi, Mahdi Jalili, Adib Keikhosravi, Bijan Vosoughi Vahdat

    Research output: Contribution to journalArticle

    11 Citations (Scopus)

    Abstract

    In this paper, distributed electroencephalographic (EEG) sources in the brain have been mapped with the objective of early diagnosis of Alzheimer's disease (AD). To this end, records from a montage of a high-density EEG from 17 early AD patients and 17 matched healthy control subjects were considered. Subjects were in eyes-closed, resting-state condition. Cortical EEG sources were modeled by the standardized low-resolution brain electromagnetic tomography (sLORETA) method. Relative logarithmic power spectral density values were obtained in the four conventional frequency bands (alpha, beta, delta, and theta) and 12 cortical regions. Results show that in the left brain hemisphere, the theta band of AD subjects shows an increase in the power, whereas the alpha band shows a decreased activity (P-value <0.05). In the right brain hemisphere of AD subjects, a decreased activity is observed in all frequency bands. It was also noticed that the right temporal region shows a significant difference between the two groups in all frequency bands. Using a support vector machine, control and patient groups are discriminated with an accuracy of 84.4%, sensitivity 75.0%, and specificity of 93.7%.

    Original languageEnglish
    Article number6482159
    Pages (from-to)1039-1045
    Number of pages7
    JournalIEEE Journal of Biomedical and Health Informatics
    Volume17
    Issue number6
    DOIs
    Publication statusPublished - 2013

    Fingerprint

    Brain
    Alzheimer Disease
    Head
    Frequency bands
    Electromagnetic Phenomena
    Power spectral density
    Temporal Lobe
    Tomography
    Support vector machines
    Early Diagnosis
    Healthy Volunteers
    Sensitivity and Specificity
    Control Groups
    Power (Psychology)

    Keywords

    • Alzheimer's disease (AD)
    • Brain source localization
    • Classification
    • Electroencephalography (EEG)
    • Standardized low-resolution brain electromagnetic tomography (sLORETA)

    ASJC Scopus subject areas

    • Biotechnology
    • Computer Science Applications
    • Electrical and Electronic Engineering
    • Health Information Management
    • Medicine(all)

    Cite this

    Diagnosis of early Alzheimer's disease based on EEG source localization and a standardized realistic head model. / Aghajani, Haleh; Zahedi, Edmond; Jalili, Mahdi; Keikhosravi, Adib; Vahdat, Bijan Vosoughi.

    In: IEEE Journal of Biomedical and Health Informatics, Vol. 17, No. 6, 6482159, 2013, p. 1039-1045.

    Research output: Contribution to journalArticle

    Aghajani, Haleh ; Zahedi, Edmond ; Jalili, Mahdi ; Keikhosravi, Adib ; Vahdat, Bijan Vosoughi. / Diagnosis of early Alzheimer's disease based on EEG source localization and a standardized realistic head model. In: IEEE Journal of Biomedical and Health Informatics. 2013 ; Vol. 17, No. 6. pp. 1039-1045.
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